Top DevOps Jobs in Dublin

Lead technical pre-sales for enterprise ServiceNow solutions across a portfolio in Ireland. Engage C-suite, run demos, design solutions, respond to RFPs, support POCs, and collaborate with sales and professional services to drive deals and transitions.

Lead design, develop, and deploy high-quality Java microservices following 12-factor principles. Collaborate with product, TPMs and test engineers across the SDLC, perform code reviews, support CI/CD, containerization, optimize performance and ensure compliance with security and architecture standards.

Lead design, develop, and deploy scalable Java microservices for a global B2B payments platform. Collaborate with product, TPMs, and QA across the lifecycle, apply 12-factor and cloud-native principles, optimize performance and reliability, perform code reviews, and drive engineering best practices and compliance.

Lead design, development, and deployment of scalable Java microservices for a high-traffic B2B payments platform. Apply 12-factor principles, CI/CD, containers, cloud (AWS/Azure), and automated testing. Collaborate with product, TPMs, and QA; perform code reviews; ensure performance, security, and adherence to enterprise standards.

Lead design, develop, and deploy high-quality Java microservices for a scalable, cloud-ready B2B payments platform. Participate across the SDLC, perform code reviews, optimize performance, and collaborate with product, TPMs, and test engineers while ensuring security and enterprise standards.

Lead design, develop, and deploy Java-based microservices for a high-traffic B2B payments platform. Apply 12-factor principles, cloud (AWS/Azure), CI/CD, containerization, and performance optimization. Collaborate with product, TPMs, and QA, perform code reviews, and ensure security and architecture compliance.

Own and evolve Mastercard's AI-native data platform and applications: define roadmap, treat data as product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure regulatory and security compliance, and translate regional customer needs into scalable data products.

Own and evolve an AI-native data platform and products: define roadmap and backlog, treat data as a product with SLAs and governance, transform structured/unstructured data into reusable schemas and datasets, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy, translate regional needs into scalable models, analyze market trends, and drive product delivery within budget and timelines.

Lead product strategy and execution for Mastercard's AI-native data platform and products. Define roadmaps, data-as-product SLAs, governance, reusable data primitives and agentic AI/HITL workflows. Manage cross-functional teams, ensure compliance with security/privacy/regulatory requirements, translate regional needs, and deliver scalable data models, APIs, dashboards and datasets to meet business objectives.

As the Lead Program Security Engineer, you'll ensure security within Mastercard's Data and AI initiatives by implementing secure practices, architecture, and risk management across teams and products.

Own and evolve Mastercard's AI-native data platform and products: define roadmaps, treat data as a product with SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy/regulatory teams, and translate regional requirements into scalable data models and datasets.

Own and evolve Mastercard's Data & AI platform and products: define roadmaps, treat data as a product, lead cross-functional teams, ensure governance and compliance, operationalize agentic AI and HITL workflows, translate regional requirements, and deliver scalable, high-quality data products.

Own and evolve an AI-native data platform and applications: define roadmap and backlog, treat data as a product with SLAs and governance, lead cross-functional teams to build reusable data primitives, ontologies and datasets, operationalize agentic AI and HITL workflows, ensure compliance with security/privacy/regulatory requirements, and translate regional customer needs into scalable solutions.

Own and evolve an AI-native data platform and applications: define roadmap, treat data as product, establish SLAs and governance, lead cross-functional teams, operationalize agentic AI and HITL workflows, ensure compliance, and translate regional needs into scalable data products.

Own and evolve an AI-native data platform and products: define roadmap, treat data as product with SLAs and governance, lead cross-functional teams to build reusable data primitives, ontologies, APIs and workflows, operationalize agentic AI/HITL processes, ensure compliance and stakeholder alignment, and drive product strategy and delivery.

Own and evolve an AI-native data platform and applications: define roadmap and backlog, treat data as product with SLAs and governance, convert Mastercard data into reusable data primitives and schemas, lead cross-functional teams, partner with security/compliance/privacy/legal, operationalize agentic AI and HITL workflows, and drive product strategy, delivery, and stakeholder communication.

Lead product strategy and execution for Mastercard's Data & AI platform. Define roadmaps, data-as-product SLAs, ontologies, and reusable datasets. Drive cross-functional development, ensure compliance and security, operationalize agentic AI and HITL workflows, and align regional requirements to deliver scalable, user-centric data products.

Lead engineering teams to build and operate cloud-native API platforms exposing foundation model capabilities. Own architecture, security, reliability, CI/CD, observability, model integration, and delivery across multiple workstreams while hiring, coaching, and partnering with stakeholders to translate product needs into technical roadmaps.

Lead security partner for Data Commercialization and AI programs: advise on secure design, translate policies into actionable guidance, lead security reviews (threat models, code/design reviews), embed controls in SDLC, support vulnerability management, and drive security automation and standards across data and AI platforms.

Lead an engineering team building API platforms and backend services to expose foundation model capabilities. Own architecture, security, reliability, CI/CD, observability, and model integration while managing delivery, hiring, and stakeholder alignment for production-grade AI services.

Lead organization-wide software and AI engineering strategy, design scalable cloud-native systems, drive deployment and data integration best practices, and deliver rapid prototype-to-production solutions. Own LLM and ML strategy including model fine-tuning, RAG, AI evaluation, and observability. Mentor technical leaders, shape developer experience and knowledge management, and represent engineering at executive and industry levels.

Lead and grow a high-performing engineering organization to deliver AI-first platforms. Own technical strategy, architecture, delivery, reliability (SLOs/SLIs), AI-augmented workflows, documentation standards, and people development while representing engineering at the executive level.

Lead design, build, and operate API platform exposing foundation model capabilities. Deliver secure, scalable APIs and backend systems, implement authN/authZ and observability, integrate models with production, run CI/CD and deployments, troubleshoot production, lead code reviews, and mentor engineers.

Lead design, build, and operate an API platform exposing foundation model capabilities. Deliver secure, scalable APIs and backend systems, integrate models with production, implement CI/CD and observability, ensure reliability and security, troubleshoot production, and mentor engineers.

Lead design, build, and operate an API platform exposing foundation model capabilities. Deliver secure, scalable APIs and backend services, integrate models for production, implement CI/CD and observability, lead reviews, troubleshoot production issues, and mentor engineers.